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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
MediumLowHighLow
Timedifferent
30-90 min20–45 min1 Tag bis mehrere Wochen45-90 min
Participantsdifferent
1-6Small cross-functional group4-102-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logProblem Statement, Prototype, Test LearningsAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
DecisionTreeOptions
RiskDecisionFailurePlanning
InnovationPrototypeResearch
AssumptionsRiskDecisionDiscovery
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